CAVES (A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines)

CAVES 是第一个包含大约 10k COVID-19 反疫苗推文的大规模数据集，这些推文在多标签设置中被标记为各种特定的反疫苗问题。这也是第一个为每个标签提供解释的多标签分类数据集。此外，该数据集还提供所有推文的分类摘要。

CAVES is the first large-scale dataset containing approximately 10k COVID-19 anti-vaccination tweets, which are annotated with various specific anti-vaccination-related issues under a multi-label setting. This is also the first multi-label classification dataset that provides explanations for each individual label. Additionally, the dataset provides classification summaries for all included tweets.

搜集汇总

背景与挑战

背景概述

CAVES是一个大规模数据集，包含约10k条COVID-19反疫苗推文，采用多标签分类并标注了具体担忧问题。它首次为每个标签提供解释，并包含所有推文的分类摘要。